Researcher
Brian Bailey
Assistant Professor of Plant Sciences, UC Davis
Researcher
Brian's research is interdisciplinary, combining expertise in engineering, computer science, atmospheric science, and biology to study plant systems. The Bailey Lab's focus is on developing the next generation of plant simulation tools to better understand and represent heterogeneity in plant systems across scales. The lab is developing high-resolution, 3D models and measurement techniques that can explicitly represent scales ranging from leaves to canopies.
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Project Involvement
Year 4
AgML: Open-Source Infrastructure to Accelerate Scaling of Agricultural AI Technologies
#Core AI Technologies#Agricultural Production
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Year 4
Developing an AI-Enabled Toolkit for Routine Integration of Quality Traits into Molecular Breeding Strategies
#Molecular Breeding
Year 3
Developing an AI-Enabled Toolkit for Routine Integration of Quality Traits into Molecular Breeding Strategies
#Molecular Breeding
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AIFS Publications
Preprint ⏐ arXiv 2026Preprint ⏐ arXiv 2026Can Synthetic Data Overcome the Generalization Limits of AI-Based Flower and Pod Detection Across Cowpea Breeding Genotypes and Environments?
Kamangir, Hamid,Jonathan Berlingeri,Earl Ranario,Isaac K Uyehara,Lars Lundqvist,Heesup Yun,Christine H Diepenbrock,Brian N Bailey,and Mason EarlesDOI: 10.48550/arXiv.2607.28796
Conference Article ⏐ International Conference on Computer Vision 2021Conference Article ⏐ ICCV 2021Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection
DOI: 10.1109/ICCVW54120.2021.00147
Journal Article ⏐ International Symposium on Visual Computing 2023Journal Article ⏐ ISVC 2023An Open-Source Simulation Toolbox for Annotation of Images and Point Clouds in Agricultural Scenarios
DOI: 10.1007/978-3-031-47969-4_43
Conference Article ⏐ IEEE/RSJ International Conference on Intelligent Robots and Systems 2024Conference Article ⏐ IROS 2024DAVIS-Ag: A Synthetic Plant Dataset for Developing Domain-Inspired Active Vision in Agricultural Robots
Choi, Taeyeong,Dario Guevara,Zifei Cheng,Grisha Bandodkar,Chonghan Wang,Brian N Bailey,Mason Earles,and Xin Liu
Conference Article ⏐ Computer Vision and Pattern Recognition 2025Conference Article ⏐ CVPR 2025AGILE: A Diffusion-Based Attention-Guided Image and Label Translation for Efficient Cross-Domain Plant Trait Identification
DOI: 10.1109/CVPRW67362.2025.00536
Conference Article ⏐ Conference on Computer Vision and Pattern Recognition 2026Conference Article ⏐ CVPRW 2026Does Your VFM Speak Plant? The Botanical Grammar of Vision Foundation Models for Object Detection
Lundqvist, Lars ,Earl Ranario,Hamid Kamangir,Heesup Yun,Christine H Diepenbrock,Brian N Bailey,and Mason EarlesDOI: 10.48550/arXiv.2604.09920
Preprint ⏐ BioRxiv 2026Preprint ⏐ BioRxiv 2026Genetic Mapping and Genomic Prediction for Agronomic, Grain Compositional, and Sensing-enabled Traits in a Cowpea MAGIC Population Along an Environmental Gradient
Berlingeri, Jonathan,Sassoum Lo,Margaret Riggs,Heesup Yun,Hamid Kamangir,Earl Ranario,Isaac K Uyehara,Ismael Mayanja,Astrid Lao,Isaac Dramadri,Patrick Ongom,Ousmane Boukar,Antonia Palkovic,Brian N Bailey,Mason Earles,Bao-Lam Huynh,and Christine H DiepenbrockDOI: 10.64898/2026.08.04.742818
Journal Article ⏐ Theoretical and Applied Genetics 2025Journal Article ⏐ Theor. Appl. Genet. 2025Integration of Crop Modeling and Sensing Into Molecular Breeding for Nutritional Quality and Stress Tolerance
Berlingeri, Jonathan,Abelina Fuentes,Earl Ranario,Heesup Yun,Ellen Rim,Oscar Garrett,Alexander Howard,Mary-Francis LaPorte,Sassoum Lo,Duke Pauli,Jenna Hershberger,Mason Earles,Allen Van Deynze,Charlie Brummer,Richard Michelmore,Christopher Wong,Troy Magney,Pamela Ronald,Daniel Runcie,Brian N Bailey,and Christine H DiepenbrockDOI: 10.1007/s00122-025-04984-y